activity
20132026
most citedMultimodal Co-learning: Challenges, Applications with Datasets, Recent Advances and Future Directions

215 citations · 789 across the 20 of their papers we have counts for

collaborators

23 papers

cs.CR2026

Adversarial Debiasing of Machine Learning Models for Enhanced Network Security against DDoS Attacks

Aadith Sukumar, Isha Singh, Devershika Mohane +4

Distributed Denial of Service attacks are a growing threat to network infrastructure, and new techniques, including the use of generative AI, make them harder to detect. Traditiona…

cs.LG2023★ 68 cited

Employing Multimodal Machine Learning for Stress Detection

Rahee Walambe, Pranav Nayak, Ashmit Bhardwaj +1

In the current age, human lifestyle has become more knowledge oriented leading to generation of sedentary employment. This has given rise to a number of health and mental disorders…

cs.CV2023★ 3 cited

WEDGE: A multi-weather autonomous driving dataset built from generative vision-language models

Aboli Marathe, Deva Ramanan, Rahee Walambe +1

The open road poses many challenges to autonomous perception, including poor visibility from extreme weather conditions. Models trained on good-weather datasets frequently fail at…

cs.LG2023★ 2 cited

Transfer Learning for Real-time Deployment of a Screening Tool for Depression Detection Using Actigraphy

Rajanikant Ghate, Nayan Kalnad, Rahee Walambe +1

Automated depression screening and diagnosis is a highly relevant problem today. There are a number of limitations of the traditional depression detection methods, namely, high dep…

cs.AI2022★ 15 cited

Multi-Fault Diagnosis Of Industrial Rotating Machines Using Data-Driven Approach: A Review Of Two Decades Of Research

Shreyas Gawde, Shruti Patil, Satish Kumar +3

Industry 4.0 is an era of smart manufacturing. Manufacturing is impossible without the use of machinery. Majority of these machines comprise rotating components and are called rota…

cs.CR2022★ 10 cited

Securing AI-based Healthcare Systems using Blockchain Technology: A State-of-the-Art Systematic Literature Review and Future Research Directions

Rucha Shinde, Shruti Patil, Ketan Kotecha +3

Healthcare systems are increasingly incorporating Artificial Intelligence into their systems, but it is not a solution for all difficulties. AI's extraordinary potential is being h…